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You also might want to reference this paper which describes the global CO2 CAMS data in more detail:

  • A. Agustí-Panareda, S. Massart, F. Chevallier, S. Boussetta, G. Balsamo, A. Beljaars, P. Ciais, N. M. Deutscher, R. Engelen, L. Jones, R. Kivi, J.-D. Paris, V.-H. Peuch, V. Sherlock, A. T. Vermeulen, P. O. Wennberg, and D. Wunch (2016),Coauthors, 2014: Forecasting global atmospheric CO2, Atmos Atmos. Chem. Phys., 14, 11959-11983, https://doi.org/10.5194/acp-14-11959-2014  
    Sébastien Massart, Anna Agustí
  • Agusti-Panareda, A, S. Massart, F. Chevallier, G. Balsamo, S. Boussetta, E. Dutra, and A. Beljaars, 2016: A biogenic CO2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO2 analyses and forecasts, ECMWF Technical Memorandum 773, 37 pp., https://doi.org/10.21957/ylfzoi6i1
  • Agusti-Panareda, A., M. Diamantakis, V. Bayona, F. Klappenbach, and A. Butz, 2017: Improving the inter-hemispheric gradient of total column atmospheric CO2 and CH4 in simulations with the ECMWF semi-Lagrangian atmospheric global model, Geosci. Model Dev., 10, 1-18,  https://doi.org/10.5194/gmd-10-1-2017
  • Massart, S., and Coauthors, 2016: Jens Heymann, Michael Buchwitz, Frédéric Chevallier, Maximilian Reuter, Michael Hilker, John P. Burrows, Nicholas M. Deutscher, Dietrich G. Feist, Frank Hase, Ralf Sussmann, Filip Desmet, Manvendra K. Dubey, David W. T. Griffith, Rigel Kivi, Christof Petri, Matthias Schneider, and Voltaire A. Velazco (2016), Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales, Atmos. Chem. Phys., 16, 1653-1671,https://doi.org/10.5194/acp-16-1653-2016

For CAMS CH4 data please refer to:

  • Agusti-Panareda, A, Massart, S, Chevallier, F, Balsamo, G, Boussetta, S, Dutra, E, Beljaars, A (2016): A biogenic CO2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO2 analyses and forecasts, ECMWF Technical Memorandum 773, http://www.ecmwf.int/en/elibrary/15374-biogenic-c02-flux-adjustment-scheme-mitigation-large-scale-biases-globalAnna Agusti-Panareda, Michail Diamantakis, Victor Bayona, Friedrich Klappenbach, and Andre Butz (2017),., M. Diamantakis, V. Bayona, F. Klappenbach, and A. Butz, 2017: Improving the inter-hemispheric gradient of total column atmospheric CO2 and CH4 in simulations with the ECMWF semi-Lagrangian atmospheric global model, Geosci. Model Dev., 10, 1-18,  https://doi.org/10.5194/gmd-10-1-2017

For CAMS CH4 data please refer to:

  • S. Massart, A. Agusti-Panareda, I. Aben, A. Butz, F. Chevallier, C. Crevoisier, R. Engelen, C. Frankenberg, and O. Hasekamp (, 2014), :  Assimilation of atmospheric methane products into the MACC-II system: from SCIAMACHY to TANSO and IASI, Atmos. Chem. Phys., 14, 6139-6158, 2014, https://doi.org/10.5194/acp-14-6139-2014
  • Anna Agusti-Panareda, Michail Diamantakis, Victor Bayona, Friedrich Klappenbach, and Andre Butz (2017),Improving the inter-hemispheric gradient of total column atmospheric CO2 and CH4 in simulations with the ECMWF semi-Lagrangian atmospheric global model, Geosci. Model Dev., 10, 1-18,  https://doi.org/10.5194/gmd-10-1-2017

For CO you can also refer to:


On data assimilation for CHEM using the C-IFS (Composition Integrated Forecasting System):

  • Inness, A., and Coauthors, 2015: Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS, Atmos. Chem. Phys., 15, 5275-5303, doi: https://doi.org/10.5194/acp-15-5275-2015.

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For CO2 and CH4 concentrations from the MACC flux inversion systems, please acknowledge Bergamaschi et al. (2007, 2009) and Chevallier et al. (2010). See the list of the publications documenting the two products below.

  • Bergamaschi, P., C. Frankenberg, J. F. Meirink, M. Krol, F. Dentener, T. Wagner, U. Platt, J. O. Kaplan, S. Koerner, M. Heimann, E.J. Dlugokencky and A. Goede (2007), and Coauthors, 2007: Satellite chartography of atmospheric methane from SCIAMACHY on board ENVISAT: 2. Evaluation based on inverse model simulations, J. Geophys. Res., 112 , D02304, https://doi.org/10.1029/2006JD007268.
  • Bergamaschi, P., C. Frankenberg, J. F. Meirink, M. Krol, M. G. Villani, S. Houweling, F. Dentener, E. J. Dlugokencky, J. B. Miller, L. V. Gatti, A. Engel, and I. Levin (2009), and Coauthors, 2009: Inverse modeling of global and regional CH4 emissions using SCIAMACHY satellite retrievals, J. Geophys. Res., 114, D22301, https://doi.org/10.1029/2009JD012287.
  • Bergamaschi, P., and Coauthors, 2010: Inverse modeling of European CH4 emissions 2001-2006, J. Geophys. Res., 115, D22309, https://doi.org/10.1029/2010JD014180.
  • Bergamaschi, P., and Coauthors, 2013a: S. Houweling, A. Segers, M. Krol, C. Frankenberg, R. A. Scheepmaker, E. Dlugokencky, S. Wofsy, E. Kort, C. Sweeney, T. Schuck, C. Brenninkmeijer, H. Chen, V. Beck and C. Gerbig (2013a), Atmospheric CH4 in the first decade of the 21st century: Inverse modeling analysis using SCIAMACHY satellite retrievals and NOAA surface measurements, J. Geophys. Res., 118, doi:7350-7369, https://doi.org/10.1002/jgrd.50480.Bergamaschi, P., M. Krol, J.
  • Chevallier, F. Meirink, F. Dentener, A. Segers, J. van Aardenne, S. Monni, A. Vermeulen, M. Schmidt, M. Ramonet, C. Yver, F. Meinhardt, E. G. Nisbet, R. Fisher, S. O'Doherty, and E. J. Dlugokencky, Inverse modeling of European CH4 emissions 2001-2006, J. Geophys. Res., 115 (D22309), doi:10.1029/2010JD014180, 2010.Chevallier, F., et al. (2010), and Coauthors, 2010: CO2 surface fluxes at grid point scale estimated from a global 21-year reanalysis of atmospheric measurements. J. Geophys. Res., 115, D21307, doi: https://doi.org/10.1029/2010JD013887


For AOD, please refer to:

  • Benedetti, A., J.-J. Morcrette, O. Boucher, A. Dethof, R. J. Engelen, M. Fischer, H. Flentjes, N. Huneeus, L. Jones, J. W. Kaiser, S. Kinne, A. Mangold, M. Razinger, A. J. Simmons, M. Suttie, and the GEMS-AER team (2009), and Coauthors, 2009: Aerosol analysis and forecast in the ECMWF Integrated Forecast System. Part II : Data assimilation, J. Geophys. Res., 114, D13205, doi: https://doi.org/10.1029/2008JD011115.
  • Morcrette, J.-J., O. Boucher, L. Jones, D. Salmond, P. Bechtold, A. Beljaars, A. Benedetti, A. Bonet, J. W. Kaiser, M. Razinger, M. Schulz, S. Serrar, A. J. Simmons, M. Sofiev, M. Suttie, A. M. Tompkins, and A. Untch (2009)and Coauthors, 2009: Aerosol analysis and forecast in the ECMWF Integrated Forecast System. Part I: Forward modelling, J. Geophys. Res., 114D 114, D06206, doi: https://doi.org/10.1029/2008JD011235.


For GFAS, please refer to:

  • Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., and van der Werf, G. R.and Coauthors, 2012: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosciences, 9, 527-554, doi:https://doi.org/10.5194/bg-9-527-2012, 2012.

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